OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay')
Features may have these attributes:
name
waterway
covered
width
depth
layer
blockage
tunnel
natural
water
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.

OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
building IS NOT NULL
Features may have these attributes:
name
building
building:levels
building:materials
addr:full
addr:housenumber
addr:street
addr:city
office
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.

OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL
Features may have these attributes:
name
amenity
man_made
shop
tourism
opening_hours
beds
rooms
addr:full
addr:housenumber
addr:street
addr:city
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.

OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
highway IS NOT NULL
Features may have these attributes:
name
highway
surface
smoothness
width
lanes
oneway
bridge
layer
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.

OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay')
Features may have these attributes:
name
waterway
covered
width
depth
layer
blockage
tunnel
natural
water
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.

OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
building IS NOT NULL
Features may have these attributes:
name
building
building:levels
building:materials
addr:full
addr:housenumber
addr:street
addr:city
office
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.

OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL
Features may have these attributes:
name
amenity
man_made
shop
tourism
opening_hours
beds
rooms
addr:full
addr:housenumber
addr:street
addr:city
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.

OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
highway IS NOT NULL
Features may have these attributes:
name
highway
surface
smoothness
width
lanes
oneway
bridge
layer
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.

On behalf of the Global WASH Cluster, with funding provided by USAID and ECHO (September-December 2017) and UNICEF (January 2018 onwards), REACH initiated a rapid infrastructure mapping exercise in Rohingya refugee settlements in Cox's Bazar District. This data collection exercise is now concluded, with Round 9 the final round.

OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
building IS NOT NULL
Features may have these attributes:
name
building
building:levels
building:materials
addr:full
addr:housenumber
addr:street
addr:city
office
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.

OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay')
Features may have these attributes:
name
waterway
covered
width
depth
layer
blockage
tunnel
natural
water
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.

OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
highway IS NOT NULL
Features may have these attributes:
name
highway
surface
smoothness
width
lanes
oneway
bridge
layer
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.

OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL
Features may have these attributes:
name
amenity
man_made
shop
tourism
opening_hours
beds
rooms
addr:full
addr:housenumber
addr:street
addr:city
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.

The dataset provides the estimated Rohingya refugee population statistics by location (lat/lon), settlement type in Cox's Bazar district, Bangladesh. The dataset is updated regularly. The source is the Needs and Population Monitoring (NPM) in Cox's Bazar.

NPM Bangladesh has produced a number of tools based on its regular data collection activities and drone flights.
SW Map package: for mobile use, this enables users to visualize the site maps and boundaries on their own mobile. Together with the relevant files, users can also find a manual showing step by step how to copy files from their own computer to SW Map running on another portable device.
KMZ file: for desktop use, this enables users to visualize the site maps and boundaries on Google Earth. By adding or removing layers, it is possible to visualize each location assessed by NPM Baseline 10. These files are available on HDX.
Historical UAV imagery of Rohingya settlements in Cox Bazar in GIS, KML Google Earth, Mbtiles (SW Maps), format. Updates of imagery will be added on top of the list.
NPM has also produced individual packages by camps:
- Please click [here] {https://data.humdata.org/dataset/iom-bangladesh-npm-drone-imagery-and-gis-package-by-camp-sept-oct-2018} to access the data by camp as of September 2018.
- Please click here to access the data by camp as of August 2018.
- Please click here to access the data by camp as of July 2018.
- Please click here to access the data by camp as of June 2018.
- Please click here to access the data by camp as of May 2018.
- Please click here to access the data by camp as of April 2018.
All majhee blocks shapefiles are also available at the following link:
Please click here to access the most current majhee block shapefiles, as well as all historical versions.

The majhee block system represents an important aspect of communities within the Rohingya refugees settled in collective or camp-like settings in Cox's Bazar district. A majhee is a community leader belonging to the Rohingya refugee population, while a block is the area for which he is responsible.
The NPM majhee blocks mapping exercise was first conducted during NPM Baseline 9, between 5 and 20 February 2018. As part of the majhee interview process (key informants), enumerators walked the perimeter of each majhee block with guidance from the KI. As they walked, the field team traced their path, marking up the boundary on the tablet or paper map. Upon returning to NPM office, details of these boundaries were finalized on the paper maps.
The paper maps were then received by the NPM digitizing team. This team carefully digitized the Mahjee zone perimeters in GIS, using high-resolution NPM UAV imagery as an underlying reference. Boundaries were assigned the NPM Block_ID attribute, which represents a unique identifier for each Site Assessment Location. In this manner, boundaries can be uniquely linked back to a mahjee.
The majhee blocks mapping exercise is now embedded in NPM regular assessment activities (baseline and site assessment), hence regularly updated with a frequency of approximately three weeks.
The majhee block system is not an official form of governance. The scope of this exercise is purely descriptive and not prescriptive. Names and boundaries adopted in this exercise do not imply official endorsement or acceptance by IOM.

Data collected in Bangladesh between June-July, 2018. Their analysis contributed to the Xchange Foundation's “The Rohingya Amongst Us”: Bangladeshi Perspectives on the Rohingya Crisis Survey.
The survey sample consisted of 1,697 Bangladeshi adults living in Teknaf (56%) and Ukhia (44%), the two southernmost subdistricts of Cox’s Bazar, and home to the majority of the Rohingya population. The survey was conducted in Bengali with the use of a questionnaire distributed through an online data collection application across more than 71 (up to 97) villages. Respondents were provided with anonymity and verbal consent was ensured before proceeding with each survey. The results of the survey are generalisable to the total adult Bangladeshi population residing in Ukhia and Teknaf upazilas (on a 95% confidence level, the margin of sampling error was 2.37).
To read the full report go to: http://xchange.org/bangladeshi-perspectives-on-the-rohingya-crisis-survey/

This is the full Administrative dataset for Bangladesh. It includes administrative level 0 (nation), 1 (division), 2 (district), 3 (upazila), and 4 (union) polygons and lines. All units have two PCODES. For each administrative level 'X', the 'admXcode_old' is the original 'GEOCODE11' PCODE and the one most commonly used in country. The GEOCODE15 incorporates Mymensingh Division which was created in 2015.

This spatial dataset provides point data of Helipads and Airports by Upazilla (4th Admin level). The original source of the data is Local Government Engineering Department (LGED). Dataset/Metadata updated by WFP, Map Action and OCHA.

This spatial dataset provides line data of Bangladesh Railroads. The original source of the data is Local Government Engineering Department (LGED). Dataset/Metadata updated by WFP, Map Action and OCHA.

Bangladesh: Elevation
The elevation of Bangladesh depicted using polygons of equal elevation. The shapefile was downloaded from the following SWERA (Solar and Wind Energy Resource Assessment) website. The data was then reprojected into GCS_WGS_1984 by GIST.

Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings.
These datasets present the result of the NPM Round 10 Baseline and Site Assessment exercises, which collected information related to the Rohingya population distribution and needs during the months of April and May 2018.
The data collection for NPM baseline survey was conducted between 1 and 17 April 2018: this provides an update about the population distribution and movements;
The data collection for NPM Site Assessment survey was conducted between 1 and 20 May 2018: in addition to an update about the population figures, this includeds a multi-sectoral needs assessment.
The full maps and GIS packages by camp produced based on NPM Baseline and Site Assessment 10 are available at the links below:
Please click here to access the data by camp as of May 2018.
Please click here to access the data by camp as of April 2018.
Rohingya refugee population distribution by para in Teknaf upazila. Data collected during NPM Site Assessment 10 between 1 and 20 May 2018.
Please click here.

Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings.
This assessment presents data from NPM Round 9 baseline survey and site assessment: the baseline was conducted between 5 and 20 February 2018; the site assessment between 7 and 25 March.
Related majhee blooks shapefiles are available on HDX.
For further information, the full report and related information package are available on humanitarianresponse.info.

Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings.
This assessment covers all locations hosting Rohingya population in Cox’s Bazar District in Bangladesh and present needs overview and population information as of 15 October 2017.
All information and findings are included in the attached products including the raw dataset for further reference and analysis. Full report available on humanitarianresponse.info

Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings.
This assessment presents data from NPM Round 8 baseline survey and site assessment: the baseline was conducted between 24 December 2017 and 4 January 2018; the site assessment between 15 and 30 January 2018.
The complete data collection was conducted between 24 December and 30 January 2018. For further information, the full report and related information package are available on humanitarianresponse.info

Following an outbreak of violence on 25 August 2017 in Rakhine State, Myanmar, a new massive influx of Rohingya refugees to Cox’s Bazar, Bangladesh started in late August 2017. Most of the Rohingya refugees settled in Ukhia and Teknaf Upazilas of Cox’s Bazar, a district bordering Myanmar identified as the main entry area for border crossings.
This assessment presents NPM Round 7 site assessment baseline dataset, which covers all locations hosting Rohingya populations in Cox's Bazar District in Bangladesh and present population needs overview as of 12 December 2017.
The data collection assessment of NPM Round 7 was conducted between 11 November to 12 December 2017. For further information full report available on humanitarianresponse.info

This dataset comprises of 644 facilities that were classified as not exposed to a flood or landslide hazard within the 21 Kutupalong Refugee Camps to assess which facilities would be optimal for further shelter upgrades and reinforcement. An index was created for prioritization and of these 644 sites, 224 were identified as having optimal indicators for further site visits. Corresponding maps for these 224 sites can be found on the REACH Resource Centre or ReliefWeb. It should be noted that ALL 644 facilities not exposed to a flood or landslide hazard should be explored as viable options for awareness raising to the local Camp/Majhee populations. For further information regarding the indicators used for the analysis please see the caveats section below.

This dataset includes WASH infrastructure (latrines and handpump tubewell) exposure to flood and landslide hazards. Data is from REACH's Round 4 infrastructure mapping for Kutupalong Refugee Camps. Flood analysis was conducted by IOM/UNHCR and landslide analysis by ADPC/UNHCR. For access to media hyperlink files please contact reach.mapping@impact-initiatives.org or the ISCG in CXB.

This dataset includes facility exposure to flood and landslide hazards. Data is from REACH's Round 4 infrastructure mapping and the latest Health Sector sites for Kutupalong Refugee Camps. Flood analysis was conducted by IOM/UNHCR and landslide analysis by ADPC/UNHCR. For access to media hyperlink files please contact reach.mapping@impact-initiatives.org or the ISCG in CXB.

The flood layer prepared by IOM and UNHCR, combined a mix method:
High quality drone imagery from December 2017, was analysed to verify non-usable[1] locations and to determine the extent of their boundaries. A buffer of approximately 2-3 m was added to the outlines of these areas to accommodate the differing conditions during the rainy season. These outlines were then validated onsite and where needed, adjusted to reflect a more realistic flooding scenario, taking inputs from local residents as needed. The onsite verification revealed that in most instances, the assumptions were either accurate or slightly underestimated thus requiring only minor expansion of the boundaries in some cases, but no reductions were made.
The main river flood levels, with an enormous and complicated catchment area, was calculated empirically, based upon field measurements taken of high water levels as indicated from people who have lived in the area for over 20 years. The river was surveyed, both in section and longitudinally, and the volume of water was back calculated based on the river arrangement where the high water level was known. For small tributaries, with well-defined and small catchment areas, rainfall intensity data (from International Journal of Scientific & Engineering Research, Volume 6, Issue 5, May 2015) for Chittagong, with a 10 year return period was used to calculate the volume of water. The height of the flood waters for the smaller tributaries was based on the channel sections, the slope and volume of water calculated from the rainfall intensity.
Landslide Layer prepared ADPC, UNHCR and IOM:
The impact area is calculated based on the fact that slopes of more than 35 degrees have a risk of failure. The slope was calculated based on the DEM dataset at 0.5 meter spatial resolution, gathered by IOM drone imagery. The DEM was adjusted match a geographical point of reference, and trees and buildings removed. The additional area of susceptibility of landslide was extended by manually drawing polygons by UNHCR and ADPC, with the support of DEM topography and contour lines. These polygons are extensions of 40 degrees and above until reaching the base of the respective slope. Spatial analysis was carried out in order to provide the statistical results of the population at risk.
Risk Management Criteria and assumptions made:
• The crucial landslide trigger factor is pore pressure
• The land slide failure would be sudden
• When it does fail, it will have an aspect ratio of 1 to 1
• 35 degrees slope and above, a risk of failure
• 40 degree slope and above has a 50% chance of failure
• 45 degree slope and above 85% chance of failure

Zipped shapefile containing 1m contour lines for Kutupalong mega camp area including Thangkhali, Hakimpara, Jamtoli and Bagghona/Potibonia. These are created by NPM team of IOM using a UAV of December 2017.

In early November, WHO initiated a joint WHO/GoB/UNFPA/UNHCR/IOM/UNICE data collection exercise of all health facilities within and near the Rohingya refugee sites, with the aim of mapping facility locations. The first version was published on the 18th November with data collected between the 8th and 12th of November. This second version is an update to the previous version and contains information collected until December 12th, 2017. However, due to the highly dynamic nature of the situation, new health facilities are still being constructed and others removed. It is therefore important to note that this may not be comprehensive or truly representative of infrastructure at the time of publication. Also note that the spatial accuracy of this dataset is at best just under 5m, which can influence the analysis of infrastructure coverage.

From the 17th October to 17 November 2017 the Internews team in Bangladesh composed of the Asia Humanitarian Advisor and the Internews Bangladesh Country Representative conducted an Information Needs Assessment in Cox’s Bazar, surveying approximately 570 people in both Rohingya refugee and host communities. WFP also contributed to this report with the support of the ETS’s Services for Communities Adviser, which additionally looked into various previous and ongoing assessments to collate data from various sources to provide information about the telecommunications landscape.

The Government of the Republic of the Union of Myanmar (Government of Myanmar) conducted its most recent Population and Housing Census in March/April 2014. The process of preparing census enumeration area maps began in June 2012. Township Immigration Officers who prepared these maps were trained on the objectives of the census, the roles of maps in the census process, concepts of sketching maps at township and ward/village tract level, and plotting new landmark features on the maps. Topographical sheets that make up the entire country were collated and maps of each of the 330 townships printed and distributed to the respective field offices. In total, there were an estimated 81,750 enumeration areas covering almost the entire country. Some parts of the country could not be mapped due to security reasons.
The data in this file is drawn from the provisional results as made available in the Population and Housing Census of Myanmar, 2014 – Provisional Results produced by the Department of Population. This report is the first in a series of publications to be released from the 2014 Myanmar Census.
The provisional results indicate that the population of Myanmar on the night of 29th March 2014 (Census Night) was 51,419,420 persons. This information will be used as a provisional figure until the main results are released. The main results may be slightly different from the information presented in this first volume of the census results, which is normal in censuses.